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This video tutorial from Cohere AI discusses word and sentence embeddings, fundamental components of large language models. These embeddings enable computers to understand and process language by converting words into numerical representations. Each word is associated with a list of numbers, and similarly, each sentence is linked to a set of numbers that captures its meaning. This process is performed by a neural network, which analyzes the context in which words or sentences appear together, gradually bringing similar terms closer in numerical space. The result is a sophisticated representation of language that enhances a computer's ability to comprehend text.
